Data Architect

Overview

• Lead the design and implementation of scalable enterprise data architectures to drive innovation and support organizational objectives.
• Develop advanced data models and frameworks that enhance analytics capabilities and decision-making processes.
• Collaborate with cross-functional teams to align data strategies with business goals and deliver impactful results.
• Champion industry best practices in data governance, modeling, and analytics frameworks to ensure optimal performance.
• Drive continuous improvement and scalability of enterprise data platforms through innovative methodologies.
• Enhance data integrity and operational efficiency by implementing robust management practices.
• Work in a dynamic hybrid environment offering flexibility and opportunities for professional growth.

Key Responsibilities & Duties

• Design and implement comprehensive data models to support analytics and operational reporting needs.
• Collaborate with stakeholders to identify data requirements and deliver tailored solutions within advanced architectural frameworks.
• Define and enforce data modeling best practices to ensure consistency and quality across projects.
• Translate logical data models into optimized physical models using cutting-edge tools and techniques.
• Develop and implement robust data governance frameworks to maintain data quality and compliance.
• Guide ETL/ELT strategies to optimize data integrity and system performance.
• Document standards for data modeling and engineering practices to ensure scalability and efficiency.
• Continuously optimize existing data models to enhance performance and scalability.

Job Requirements

• Bachelor of Science degree with 7+ years of experience in data architecture and modeling.
• Proficiency in data modeling methodologies, including Dimensional and Data Vault approaches.
• Expertise in relational and non-relational databases, SQL, and advanced architecture frameworks.
• Strong experience with Azure-based data solutions and modern data platforms.
• Demonstrated knowledge of ETL/ELT processes and data governance tools.
• Preferred experience with Data Vault implementation and BI tools like Power BI and Tableau.
• Excellent communication and analytical skills for effective stakeholder collaboration.